Misfolded GPI-Anchored Proteins Are Escorted Through the Secretory Pathway by ER-Derived Factors Eszter Zavodszky, Ramanujan S Hegde*

Total Page:16

File Type:pdf, Size:1020Kb

Misfolded GPI-Anchored Proteins Are Escorted Through the Secretory Pathway by ER-Derived Factors Eszter Zavodszky, Ramanujan S Hegde* RESEARCH ARTICLE Misfolded GPI-anchored proteins are escorted through the secretory pathway by ER-derived factors Eszter Zavodszky, Ramanujan S Hegde* MRC Laboratory of Molecular Biology, Cambridge, United Kingdom Abstract We have used misfolded prion protein (PrP*) as a model to investigate how mammalian cells recognize and degrade misfolded GPI-anchored proteins. While most misfolded membrane proteins are degraded by proteasomes, misfolded GPI-anchored proteins are primarily degraded in lysosomes. Quantitative flow cytometry analysis showed that at least 85% of PrP* molecules transiently access the plasma membrane en route to lysosomes. Unexpectedly, time- resolved quantitative proteomics revealed a remarkably invariant PrP* interactome during its trafficking from the endoplasmic reticulum (ER) to lysosomes. Hence, PrP* arrives at the plasma membrane in complex with ER-derived chaperones and cargo receptors. These interaction partners were critical for rapid endocytosis because a GPI-anchored protein induced to misfold at the cell surface was not recognized effectively for degradation. Thus, resident ER factors have post-ER itineraries that not only shield misfolded GPI-anchored proteins during their trafficking, but also provide a quality control cue at the cell surface for endocytic routing to lysosomes. DOI: https://doi.org/10.7554/eLife.46740.001 Introduction Maintenance of a correctly folded proteome is critical for cellular and organismal homeostasis. Con- sequently, all cells employ protein quality control to identify and eliminate misfolded proteins (Wolff et al., 2014). The wide diversity of proteins and the multitude of compartments in eukaryotic *For correspondence: cells has driven the evolution of numerous quality control pathways for different classes of proteins [email protected] and different types of errors. Thus, an important step in understanding the principles of cellular pro- Competing interest: See tein homeostasis is to delineate the recognition and degradation pathways for major classes of mis- page 28 folded proteins. Funding: See page 28 Over 150 proteins in the human genome are anchored to the cell surface solely by a glycosyl- phosphatidylinositol (GPI) anchor in the membrane (UniProt Consortium, 2018). GPI-anchored pro- Received: 11 March 2019 Accepted: 15 May 2019 teins are ubiquitous across eukaryotes, often highly abundant, and have diverse roles including cell Published: 16 May 2019 adhesion, signaling, intercellular communication, and enzymatic reactions (Kinoshita et al., 2008). How misfolded GPI-anchored proteins are selectively recognized and degraded remains poorly Reviewing editor: Maya understood. The importance of this problem is highlighted by the capacity of mammalian prion pro- Schuldiner, Weizmann Institute, tein (PrP), a widely expressed and conserved GPI-anchored protein, to cause neurodegenerative dis- Israel ease when misfolded variants accumulate in cells (Prusiner, 2013). Copyright Zavodszky and The pathway used for degradation of a misfolded GPI-anchored protein depends on the step at Hegde. This article is distributed which its biosynthesis fails. Errors in targeting GPI-anchored proteins to the under the terms of the Creative endoplasmic reticulum (ER) or processing their signal for GPI anchor attachment at the membrane Commons Attribution License, which permits unrestricted use are handled by cytosolic (Ast et al., 2014; Hessa et al., 2011) and ER-associated degradation and redistribution provided that (ERAD) pathways (Ali et al., 2000; Ashok and Hegde, 2008; Sikorska et al., 2016; Wilbourn et al., the original author and source are 1998), respectively. Early studies in yeast suggested that once the GPI anchor is added, the mis- credited. folded protein is not degraded via Hrd1p (Fujita et al., 2006), a central ERAD factor that mediates Zavodszky and Hegde. eLife 2019;8:e46740. DOI: https://doi.org/10.7554/eLife.46740 1 of 30 Research article Cell Biology ubiquitination and retrotranslocation of substrates from the ER to the cytosol (Baldridge and Rapo- port, 2016; Bays et al., 2001; Stein et al., 2014). Instead, misfolded GPI-anchored proteins in yeast were suggested to use a seemingly unconven- tional pathway dependent on ER-to-Golgi transport (Fujita et al., 2006). Subsequent analysis sug- gested that ER export receptors of the TMED family (also known as the p24 family) rapidly sequester GPI-anchored proteins to prevent their engagement by Hrd1p, thereby allowing degradation in the vacuole (Sikorska et al., 2016). The GPI-anchored protein was primarily degraded by ERAD when the TMED cargo receptor was eliminated. Thus, the primary pathway for GPI-anchored protein deg- radation in yeast is via trafficking to the vacuole, with ERAD serving as a failsafe pathway when the vacuole route is impaired. Parallel studies in mammalian cells investigating mutant PrP degradation arrived at similar conclu- sions. First, investigation of the localization, trafficking, and turnover of a panel of human disease- causing PrP mutants showed that they are not degraded by ERAD, do not depend on the protea- some, and exit the ER despite their misfolding (Ashok and Hegde, 2009). The misfolded population of mutant PrP was selectively observed in post-ER intracellular compartments en route to their ulti- mate degradation in acidic compartments presumed to be lysosomes. Using an artificial constitu- tively misfolded PrP mutant (termed PrP*, containing a C179A mutation that cannot form the sole disulfide bond in PrP), trafficking from the ER to lysosomes was directly visualized by time-lapse imaging in live cells (Satpute-Krishnan et al., 2014). This study showed that PrP* is primarily retained in the ER at steady state but can be released into the secretory pathway by acute ER stress. The steps between ER retention and lysosomal clearance are only partially understood. Transit of PrP* to the Golgi requires cargo receptor TMED10 (also known as Tmp21, or p24d1) with which it interacts in co-immunoprecipitation experiments (Satpute-Krishnan et al., 2014). From here, the route to lysosomes is not established. At least a subpopulation was implicated in transiting the cell surface based on extracellular antibody uptake assays and trapping of PrP* at the cell surface after cholesterol depletion (Satpute-Krishnan et al., 2014). The proportion of PrP* using this itinerary was unclear but it is important to understand because exposing misfolded proteins to the extracellu- lar environment can be detrimental. In the specific case of PrP, surface-exposed misfolded forms may facilitate uptake of prions into cells (Fehlinger et al., 2017). From these combined studies in yeast and mammalian cells, it is thought that both folded and misfolded GPI-anchored proteins engage TMED family export receptors at the ER and traffic to the Golgi. At some step at or after the trans-Golgi network, their itineraries diverge. Folded GPI- anchored proteins go on to reside at the cell surface, whereas misfolded variants are delivered to the lysosome. It is not known how misfolded GPI-anchored proteins get from the Golgi to lyso- somes, how they avoid aggregation during their journey through chaperone-poor post-ER compart- ments, or how cells discriminate folded from misfolded proteins to influence their trafficking. Here, we used quantitative flow cytometry and proteomic analyses to show that the majority of PrP* traf- fics via the cell surface to lysosomes in a complex with resident ER chaperones and cargo receptors. This suggests that minor populations of abundant factors long thought to be restricted to the early secretory pathway have functional excursions to the cell surface during quality control of GPI- anchored proteins. Results Experimental system for quantitative analysis of PrP* degradation To perform quantitative analysis of misfolded GPI-anchored protein degradation, we first generated and characterized a stable doxycycline-inducible HEK293T cell line expressing GFP-tagged PrP* (GFP-PrP*) integrated into a single defined locus in the genome. This mutant of PrP contains a Cys to Ala change at position 179, thereby preventing the formation of a critical disulfide bond required for PrP folding (Satpute-Krishnan et al., 2014). A matched cell line expressing wild type GFP-PrP from the same locus served as a control in these studies. Immunoblotting of total cell lysates after induction with doxycycline showed that the steady state level of GFP-PrP* was very similar to GFP- PrP (Figure 1A). The different migration patterns are due to complex glycosylation of GFP-PrP dur- ing its transit through the Golgi in contrast to core-glycosylated GFP-PrP* primarily retained in the ER. Zavodszky and Hegde. eLife 2019;8:e46740. DOI: https://doi.org/10.7554/eLife.46740 2 of 30 Research article Cell Biology A GFP- GFP- CD PrP PrP* dox: - + - + GFP-PrP* DMSO 75 complex Tg GFP 58 core Tg + Baf (faint) 46 no glyc. GFP 75 complex 58 core (dark) 46 no glyc. total proportion of cells protein GFP-PrP* -10 3 010 3 10 4 10 5 B uninduced GFP-PrP GFP-PrP* GFP-PrP DMSO Tg Tg + Baf proportion of cells proportion of cells GFP-PrP 3 3 4 5 -103 010 3 10 4 10 5 -10 010 10 10 GFP fluorescence GFP fluorescence E 0 min 30 min 60 min 120 min 180 min GFP-PrP* Figure 1. A stable-inducible cell line to study GPI-anchored protein quality control. (A) HEK293-TRex cells containing either GFP-PrP or GFP-PrP* stably integrated at the same locus were induced to express the proteins with doxycycline for 48 hr prior to analysis by immunoblotting using anti-GFP antibody. Cultures without doxycycline induction were analyzed in parallel. Two exposures of the immunoblot are shown, along with a portion of the stained blot verifying equal loading. Unglycosylated (‘no glyc.”), core-glycosylated (‘core’), and complex-glycosylated (‘complex’) species of GFP-PrP are indicated. (B) Cells expressing GFP-PrP or GFP-PrP* were induced with doxycycline for 96 hr prior to analysis of GFP fluorescence by flow cytometry. The normalized histograms are shown. (C) Cells expressing GFP-PrP or GFP-PrP* were induced for 48 hr with doxycycline, washed to remove doxycycline, then analyzed 24 hr later by fluorescent microscopy.
Recommended publications
  • Cyclin D1/Cyclin-Dependent Kinase 4 Interacts with Filamin a and Affects the Migration and Invasion Potential of Breast Cancer Cells
    Published OnlineFirst February 28, 2010; DOI: 10.1158/0008-5472.CAN-08-1108 Tumor and Stem Cell Biology Cancer Research Cyclin D1/Cyclin-Dependent Kinase 4 Interacts with Filamin A and Affects the Migration and Invasion Potential of Breast Cancer Cells Zhijiu Zhong, Wen-Shuz Yeow, Chunhua Zou, Richard Wassell, Chenguang Wang, Richard G. Pestell, Judy N. Quong, and Andrew A. Quong Abstract Cyclin D1 belongs to a family of proteins that regulate progression through the G1-S phase of the cell cycle by binding to cyclin-dependent kinase (cdk)-4 to phosphorylate the retinoblastoma protein and release E2F transcription factors for progression through cell cycle. Several cancers, including breast, colon, and prostate, overexpress the cyclin D1 gene. However, the correlation of cyclin D1 overexpression with E2F target gene regulation or of cdk-dependent cyclin D1 activity with tumor development has not been identified. This suggests that the role of cyclin D1 in oncogenesis may be independent of its function as a cell cycle regulator. One such function is the role of cyclin D1 in cell adhesion and motility. Filamin A (FLNa), a member of the actin-binding filamin protein family, regulates signaling events involved in cell motility and invasion. FLNa has also been associated with a variety of cancers including lung cancer, prostate cancer, melanoma, human bladder cancer, and neuroblastoma. We hypothesized that elevated cyclin D1 facilitates motility in the invasive MDA-MB-231 breast cancer cell line. We show that MDA-MB-231 motility is affected by disturbing cyclin D1 levels or cyclin D1-cdk4/6 kinase activity.
    [Show full text]
  • Pathogen Receptor Discovery with a Microfluidic Human Membrane Protein Array
    Pathogen receptor discovery with a microfluidic human membrane protein array Yair Glicka,1,Ya’ara Ben-Aria,1, Nir Draymanb, Michal Pellacha, Gregory Neveuc,d, Jim Boonyaratanakornkitc,d, Dorit Avrahamia, Shirit Einavc,d, Ariella Oppenheimb, and Doron Gerbera,2 aMina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, 5290002, Israel; bFaculty of Medicine, Hebrew University, Jerusalem, 9112001, Israel; cDepartment of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA 94305; and dDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305 Edited by Stephen R. Quake, Stanford University, Stanford, CA, and approved March 1, 2016 (received for review September 20, 2015) The discovery of how a pathogen invades a cell requires one to and translate into proteins in situ (10, 11). This approach has determine which host cell receptors are exploited. This determina- enabled the study of the Pseudomonas aeruginosa outer mem- tion is a challenging problem because the receptor is invariably a brane protein for immunity (12). membrane protein, which represents an Achilles heel in proteomics. Combining integrated microfluidics with microarrays and We have developed a universal platform for high-throughput ex- in vitro transcription and translation (TNT) systems may over- – pression and interaction studies of membrane proteins by creating a come all of the above mentioned difficulties (Fig. 1A) (13 16). microfluidic-based comprehensive human membrane protein array The integrated microfluidic device allows smart liquid manage- (MPA). The MPA is, to our knowledge, the first of its kind and offers ment in very low volumes, partitioning, and process integration a powerful alternative to conventional proteomics by enabling the (i.e., protein expression, immobilization, and interaction exper- simultaneous study of 2,100 membrane proteins.
    [Show full text]
  • Viewed Previously [4]
    Barlow et al. BMC Biology (2018) 16:27 https://doi.org/10.1186/s12915-018-0492-9 RESEARCHARTICLE Open Access A sophisticated, differentiated Golgi in the ancestor of eukaryotes Lael D. Barlow1, Eva Nývltová2,3, Maria Aguilar1, Jan Tachezy2 and Joel B. Dacks1,4* Abstract Background: The Golgi apparatus is a central meeting point for the endocytic and exocytic systems in eukaryotic cells, and the organelle’s dysfunction results in human disease. Its characteristic morphology of multiple differentiated compartments organized into stacked flattened cisternae is one of the most recognizable features of modern eukaryotic cells, and yet how this is maintained is not well understood. The Golgi is also an ancient aspect of eukaryotes, but the extent and nature of its complexity in the ancestor of eukaryotes is unclear. Various proteins have roles in organizing the Golgi, chief among them being the golgins. Results: We address Golgi evolution by analyzing genome sequences from organisms which have lost stacked cisternae as a feature of their Golgi and those that have not. Using genomics and immunomicroscopy, we first identify Golgi in the anaerobic amoeba Mastigamoeba balamuthi. We then searched 87 genomes spanning eukaryotic diversity for presence of the most prominent proteins implicated in Golgi structure, focusing on golgins. We show some candidates as animal specific and others as ancestral to eukaryotes. Conclusions: None of the proteins examined show a phyletic distribution that correlates with the morphology of stacked cisternae, suggesting the possibility of stacking as an emergent property. Strikingly, however, the combination of golgins conserved among diverse eukaryotes allows for the most detailed reconstruction of the organelle to date, showing a sophisticated Golgi with differentiated compartments and trafficking pathways in the common eukaryotic ancestor.
    [Show full text]
  • Molecular Subtypes of Diffuse Large B-Cell Lymphoma Arise by Distinct Genetic Pathways
    Molecular subtypes of diffuse large B-cell lymphoma arise by distinct genetic pathways Georg Lenza, George W. Wrightb, N. C. Tolga Emrea, Holger Kohlhammera, Sandeep S. Davea, R. Eric Davisa, Shannon Cartya, Lloyd T. Lama, A. L. Shaffera, Wenming Xiaoc, John Powellc, Andreas Rosenwaldd, German Ottd,e, Hans Konrad Muller-Hermelinkd, Randy D. Gascoynef, Joseph M. Connorsf, Elias Campog, Elaine S. Jaffeh, Jan Delabiei, Erlend B. Smelandj,k, Lisa M. Rimszal, Richard I. Fisherm,n, Dennis D. Weisenburgero, Wing C. Chano, and Louis M. Staudta,q aMetabolism Branch, bBiometric Research Branch, cCenter for Information Technology, and hLaboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892; dDepartment of Pathology, University of Wu¨rzburg, 97080 Wu¨rzburg, Germany; eDepartment of Clinical Pathology, Robert-Bosch-Krankenhaus, 70376 Stuttgart, Germany; fBritish Columbia Cancer Agency, Vancouver, British Columbia, Canada V5Z 4E6; gHospital Clinic, University of Barcelona, 08036 Barcelona, Spain; iPathology Clinic and jInstitute for Cancer Research, Rikshospitalet Hospital, Oslo, Norway; kCentre for Cancer Biomedicine, Faculty Division the Norwegian Radium Hospital, N-0310, Oslo, Norway; lDepartment of Pathology, University of Arizona, Tucson, AZ 85724; mSouthwest Oncology Group, 24 Frank Lloyd Wright Drive, Ann Arbor, MI 48106 ; nJames P. Wilmot Cancer Center, University of Rochester, Rochester, NY 14642; and oDepartments of Pathology and Microbiology, University of Nebraska, Omaha, NE 68198 Edited by Ira
    [Show full text]
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
    Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated.
    [Show full text]
  • Supporting Information
    Supporting Information Edgar et al. 10.1073/pnas.1601895113 SI Methods (Actimetrics), and recordings were analyzed using LumiCycle Mice. Sample size was determined using the resource equation: Data Analysis software (Actimetrics). E (degrees of freedom in ANOVA) = (total number of exper- – Cell Cycle Analysis of Confluent Cell Monolayers. NIH 3T3, primary imental animals) (number of experimental groups), with −/− sample size adhering to the condition 10 < E < 20. For com- WT, and Bmal1 fibroblasts were sequentially transduced − − parison of MuHV-4 and HSV-1 infection in WT vs. Bmal1 / with lentiviral fluorescent ubiquitin-based cell cycle indicators mice at ZT7 (Fig. 2), the investigator did not know the genotype (FUCCI) mCherry::Cdt1 and amCyan::Geminin reporters (32). of the animals when conducting infections, bioluminescence Dual reporter-positive cells were selected by FACS (Influx Cell imaging, and quantification. For bioluminescence imaging, Sorter; BD Biosciences) and seeded onto 35-mm dishes for mice were injected intraperitoneally with endotoxin-free lucif- subsequent analysis. To confirm that expression of mCherry:: Cdt1 and amCyan::Geminin correspond to G1 (2n DNA con- erin (Promega E6552) using 2 mg total per mouse. Following < ≤ anesthesia with isofluorane, they were scanned with an IVIS tent) and S/G2 (2 n 4 DNA content) cell cycle phases, Lumina (Caliper Life Sciences), 15 min after luciferin admin- respectively, cells were stained with DNA dye DRAQ5 (abcam) and analyzed by flow cytometry (LSR-Fortessa; BD Biosci- istration. Signal intensity was quantified using Living Image ences). To examine dynamics of replicative activity under ex- software (Caliper Life Sciences), obtaining maximum radiance perimental confluent conditions, synchronized FUCCI reporter for designated regions of interest (photons per second per − − − monolayers were observed by time-lapse live cell imaging over square centimeter per Steradian: photons·s 1·cm 2·sr 1), relative 3 d (Nikon Eclipse Ti-E inverted epifluorescent microscope).
    [Show full text]
  • GOLGA2/GM130 Is a Novel Target for Neuroprotection Therapy in Intracerebral Hemorrhage
    GOLGA2/GM130 is a Novel Target for Neuroprotection Therapy in Intracerebral Hemorrhage Shuwen Deng Second Xiangya Hospital Qing Hu Second Xiangya Hospital Qiang He Second Xiangya Hospital Xiqian Chen Second Xiangya Hospital Wei Lu ( [email protected] ) Second Xiangya Hospital, central south university https://orcid.org/0000-0002-3760-1550 Research Article Keywords: Golgi apparatus, therapy, intracerebral hemorrhage, autophagy, blood–brain barrier Posted Date: June 1st, 2021 DOI: https://doi.org/10.21203/rs.3.rs-547422/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/25 Abstract Blood–brain barrier (BBB) impairment after intracerebral hemorrhage (ICH) can lead to secondary brain injury and aggravate neurological decits. Currently, there are no effective methods for its prevention or treatment partly because of to our lack of understanding of the mechanism of ICH injury to the BBB. Here, we explored the role of Golgi apparatus protein GM130 in the BBB and neurological function after ICH. The levels of the tight junction-associated proteins ZO-1 and occludin decreased, whereas those of LC3-II, an autophagosome marker, increased in hemin-treated Bend.3 cells (p < 0.05). Additionally, GM130 overexpression increased ZO-1 and occludin levels, while decreasing LC3-II levels (p < 0.05). GM130 silencing reversed these effects and mimicked the effect of hemin treatment (p < 0.05). Moreover, tight junctions were disrupted after hemin treatment or GM130 silencing and repaired by GM130 overexpression. GM130 silencing in Bend.3 cells increased autophagic ux, whereas GM130 overexpression downregulated this activity. Furthermore, GM130 silencing-induced tight junction disruption was partially restored by 3-methyladenine (an autophagy inhibitor) administration.
    [Show full text]
  • Nutrient Health and EROEN Compounds Resegsterixsteextics: Production * Gets Cartrai, Agairaxxxix
    US 2011 O153221A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2011/0153221 A1 Stefanon et al. (43) Pub. Date: Jun. 23, 2011 (54) DIAGNOSTIC SYSTEM FOR SELECTING (52) U.S. Cl. .......................................................... 702/19 NUTRITION AND PHARMACOLOGICAL PRODUCTS FOR ANIMALS (57) ABSTRACT (76) Inventors: Bruno Stefanon, Martignacco (IT): W.Year Jean Dodds.Odds, Santa Monica,IVIon1ca, CA An analysis of the profile of a non-human animal comprises: a) providing a genotypic database to the species of the non (21) Appl. No.: 12/927,769 human animal Subject or a selected group of the species; b obtaining animal data; c) correlating the database of a) with (22) Filed:1-1. Nov. 19, 2010 the data ofb) to determinea relationshipp between the database of a) and the data of b); c) determining the profile of the Related U.S. Application Data animal based on the correlating step; and d) determining a (63)63) ContinuationConti offaroplication application No. 12/316.824,:4'. filed'O geneticmolecular profile dietary based signature on the being molecular a variation dietary of signature, expression the of Dec. 16, 2008, now Pat. No. 7,873,482. a set of genes which may differ for the genotype of each O O animal or a group of animals Nutrition and pharmalogical Publication Classification assessments are made. Reporting the determination is by the (51) Int. Cl. Internet, and payment for the report is obtained through the G06F 9/00 (2011.01) Internet. 38s. 4 gas registics, $88's *.icisixxxiiserscies: 8 texrigixi exsix * processire statisy • Essex: 88& goEffect onXXXXWWYYX Nutrient health and EROEN Compounds resegsterixsteextics: production * gets cartrai, agairaxxxix.
    [Show full text]
  • S41467-020-18249-3.Pdf
    ARTICLE https://doi.org/10.1038/s41467-020-18249-3 OPEN Pharmacologically reversible zonation-dependent endothelial cell transcriptomic changes with neurodegenerative disease associations in the aged brain Lei Zhao1,2,17, Zhongqi Li 1,2,17, Joaquim S. L. Vong2,3,17, Xinyi Chen1,2, Hei-Ming Lai1,2,4,5,6, Leo Y. C. Yan1,2, Junzhe Huang1,2, Samuel K. H. Sy1,2,7, Xiaoyu Tian 8, Yu Huang 8, Ho Yin Edwin Chan5,9, Hon-Cheong So6,8, ✉ ✉ Wai-Lung Ng 10, Yamei Tang11, Wei-Jye Lin12,13, Vincent C. T. Mok1,5,6,14,15 &HoKo 1,2,4,5,6,8,14,16 1234567890():,; The molecular signatures of cells in the brain have been revealed in unprecedented detail, yet the ageing-associated genome-wide expression changes that may contribute to neurovas- cular dysfunction in neurodegenerative diseases remain elusive. Here, we report zonation- dependent transcriptomic changes in aged mouse brain endothelial cells (ECs), which pro- minently implicate altered immune/cytokine signaling in ECs of all vascular segments, and functional changes impacting the blood–brain barrier (BBB) and glucose/energy metabolism especially in capillary ECs (capECs). An overrepresentation of Alzheimer disease (AD) GWAS genes is evident among the human orthologs of the differentially expressed genes of aged capECs, while comparative analysis revealed a subset of concordantly downregulated, functionally important genes in human AD brains. Treatment with exenatide, a glucagon-like peptide-1 receptor agonist, strongly reverses aged mouse brain EC transcriptomic changes and BBB leakage, with associated attenuation of microglial priming. We thus revealed tran- scriptomic alterations underlying brain EC ageing that are complex yet pharmacologically reversible.
    [Show full text]
  • Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
    Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase
    [Show full text]
  • Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
    Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement.
    [Show full text]
  • Early Growth Response 1 Regulates Hematopoietic Support and Proliferation in Human Primary Bone Marrow Stromal Cells
    Hematopoiesis SUPPLEMENTARY APPENDIX Early growth response 1 regulates hematopoietic support and proliferation in human primary bone marrow stromal cells Hongzhe Li, 1,2 Hooi-Ching Lim, 1,2 Dimitra Zacharaki, 1,2 Xiaojie Xian, 2,3 Keane J.G. Kenswil, 4 Sandro Bräunig, 1,2 Marc H.G.P. Raaijmakers, 4 Niels-Bjarne Woods, 2,3 Jenny Hansson, 1,2 and Stefan Scheding 1,2,5 1Division of Molecular Hematology, Department of Laboratory Medicine, Lund University, Lund, Sweden; 2Lund Stem Cell Center, Depart - ment of Laboratory Medicine, Lund University, Lund, Sweden; 3Division of Molecular Medicine and Gene Therapy, Department of Labora - tory Medicine, Lund University, Lund, Sweden; 4Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands and 5Department of Hematology, Skåne University Hospital Lund, Skåne, Sweden ©2020 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2019.216648 Received: January 14, 2019. Accepted: July 19, 2019. Pre-published: August 1, 2019. Correspondence: STEFAN SCHEDING - [email protected] Li et al.: Supplemental data 1. Supplemental Materials and Methods BM-MNC isolation Bone marrow mononuclear cells (BM-MNC) from BM aspiration samples were isolated by density gradient centrifugation (LSM 1077 Lymphocyte, PAA, Pasching, Austria) either with or without prior incubation with RosetteSep Human Mesenchymal Stem Cell Enrichment Cocktail (STEMCELL Technologies, Vancouver, Canada) for lineage depletion (CD3, CD14, CD19, CD38, CD66b, glycophorin A). BM-MNCs from fetal long bones and adult hip bones were isolated as reported previously 1 by gently crushing bones (femora, tibiae, fibulae, humeri, radii and ulna) in PBS+0.5% FCS subsequent passing of the cell suspension through a 40-µm filter.
    [Show full text]